Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

A University of Idaho lab received $1.3 million from the Department of Defense to study early detection methods for ...

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.